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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal, Data Engineer - **Company:** Wal-Mart Stores, Inc. - **Location:** Bentonville, AR, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Architecture, Information Engineering, Extract Transform Load (ETL), Distributed Data Store, Executive Information Systems, Python (Programming Language), Operational Data Store, Cloud Services, SQL Databases, Data Streaming, Apache Spark, Build Management, Apache Kafka, Data Management, Marketplace, Data Pipelines - **Published:** August 8, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/principal-data-engineer-bentonville-ar-usa-58859846 ## About the Role is * Drive data quality, governance, and platform scalability while enabling AI-driven analytics and automation * Mentor engineers and provide technical leadership across data engineering initiatives Tasks * Experience designing and building large-scale cloud data platforms and distributed data pipelines * Strong expertise in data modeling, data architecture, ETL/ELT, streaming data, and modern analytics platforms * Proficiency with cloud-native data technologies, SQL, Python, Spark, Kafka, or similar distributed data frameworks * Proven ability to define technical strategy and influence engineering organizations through data architecture and leadership * Experience building operational analytics, engineering metrics, executive dashboards, or AI-ready data platforms * Strong communication skills to translate complex data challenges into scalable solutions Key requirements * Health benefits (medical, vision, dental) * 401(k) and stock purchase * company-paid life insurance * PTO including sick leave and parental leave * military leave, adoption and surrogacy support * disability benefits ## Description Experteer Overview In this role you will define the data architecture and technical strategy for Walmart's Marketplace Operational Intelligence platform. You will design scalable data pipelines, models, and analytics to deliver engineering insights, executive scorecards, and AI-ready datasets supporting thousands of engineers. You will lead cross-functional collaboration to establish a trusted data source of truth and drive data quality, governance, and platform scalability. This is a hands-on, leadership-focused position that shapes operational intelligence to improve reliability, productivity, and decision-making. Compensation / Benefits * Define the architecture and technical strategy for Marketplace's Operational Intelligence platform * Design and build scalable data pipelines, data models, and analytics platforms for engineering insights and executive dashboards * Partner with engineering and platform teams to standardize operational data and establish a source of truth for metrics * Drive data quality, governance, and platform scalability while enabling AI-driven analytics and automation * Mentor engineers and provide technical leadership across data engineering initiatives Tasks * Experience designing and building large-scale cloud data platforms and distributed data pipelines * Strong expertise in data modeling, data architecture, ETL/ELT, streaming data, and modern analytics platforms * Proficiency with cloud-native data technologies, SQL, Python, Spark, Kafka, or similar distributed data frameworks * Proven ability to define technical strategy and influence engineering organizations through data architecture and leadership * Experience building operational analytics, engineering metrics, executive dashboards, or AI-ready data platforms * Strong communication skills to translate complex data challenges into scalable solutions Key requirements * Health benefits (medical, vision, dental) * 401(k) and stock purchase * company-paid life insurance * PTO including sick leave and parental leave * military leave, adoption and surrogacy support * disability benefits ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How to Benchmark Your Apache Kafka](https://www.wearedevelopers.com/videos/76-how-to-benchmark-your-apache-kafka) - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Let's Get Started With Apache Kafka® for Python Developers](https://www.wearedevelopers.com/videos/565-let-s-get-started-with-apache-kafka-for-python-developers) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)